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<br />Accurate targeting - that is, putting the additional precipitation <br />in a predetermined area on the ground - requires an understanding of <br />how the seeding material travels from the generator to the cloud, <br />how long it takes to develop a precipitation-size ice crystal, and <br />the trajectory of the ice crystal as it falls out of the cloud. The <br />stabili ty of the atmosphere, the average windspeed and direction, <br />and the deviation from these average values are the major factors <br />in targeting. Sometimes local situations, such as the close prox- <br />imi ty of population centers or specific areas requested to be <br />excluded, require confining the seeding effects to a rather pre- <br />cisely defined target area. In these cases, the windspeed and <br />direction must be monitored very carefully. Several mathematical <br />'models are available to help predict the area affected by cloud <br />seeding. <br /> <br />Orographic clouds typically form hours before the first precipita- <br />tion is observed and. frequently last many hours after precipita- <br />tion stops. Cloud seeding can be used to increase the duration as <br />well as increase the intensity of precipitation. If clouds are <br />seeded as soon as favorable conditions exist, precipitation may <br />start earlier, last longer, and be of greater intensity. Many <br />orographic clouds are reasonably efficient precipitators once they <br />get started, so if seeding is delayed until natural precipitation <br />is observed, the intensity may be increased somewhat and the dura- <br />tion extended, but the total precipitation will not be as great as <br />if the seeding had preceded natural precipitation. <br /> <br />Evaluation. - The results of seeding orographic clouds can be <br />expressed in terms of precipitation, runoff, streamflow, or a host <br />of nonhydrologic and nonmeteorological factors. A number of stand- <br />ard statistical techniques are available to analyze the data, and. <br />several special techniques have been studied. Evaluation tech- <br />niques generally fall into one or the other of two categories - <br />target vs. control and seed vs. no seed. In the target-control <br />design, all storms affecting the target area are seeded and a <br />nearby control area is never seeded. The target and the control <br />areas must experience the same climate and the averages of pre- <br />cipitation falling in the two areas must be highly correlated. The <br />precipitation in the control area is made a predictor of what the <br />target area would have received if there had been no seeding. The <br />difference between actual and predicted target precipitation is a <br />measure of the effect of the seeding. Runoff, streamflow, or other <br />variables could be used as predictors instead of precipitation. The <br />seed-no seed design requires that a percentage of all seedable <br />storms be left unseeded. The selection of the unseeded storms must <br /> <br />4 <br />